iPad17,3
Geekbench AI Score
13262
Single Precision Score
23363
Half Precision Score
23501
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | PGSCOM |
| Upload Date | December 12 2025 04:20 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| Model | iPad17,3 |
| Model ID | iPad17,3 |
| Motherboard | J820AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 9 Cores |
| Identifier | ARM |
| Base Frequency | 4.42 GHz |
| Cluster 1 | 3 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 11.20 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6144
1.14 KIPS |
|
|
Image Classification (HP)
|
100% |
10110
1.88 KIPS |
|
|
Image Classification (Q)
|
97% |
9743
1.82 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9990
161.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
15435
250.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
16824
272.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
37653
43.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
90638
105.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
106366
124.7 IPS |
|
|
Object Detection (SP)
|
100% |
6313
500.7 IPS |
|
|
Object Detection (HP)
|
100% |
10920
866.2 IPS |
|
|
Object Detection (Q)
|
93% |
9866
787.0 IPS |
|
|
Face Detection (SP)
|
100% |
18478
219.6 IPS |
|
|
Face Detection (HP)
|
100% |
32356
384.5 IPS |
|
|
Face Detection (Q)
|
100% |
26261
312.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
27744
213.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
51124
393.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
51989
405.9 IPS |
|
|
Style Transfer (SP)
|
100% |
78810
101.3 IPS |
|
|
Style Transfer (HP)
|
100% |
164757
211.8 IPS |
|
|
Style Transfer (Q)
|
96% |
202859
261.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15511
572.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
30586
1.13 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
29254
1.08 KIPS |
|
|
Text Classification (SP)
|
100% |
2989
3.99 KIPS |
|
|
Text Classification (HP)
|
99% |
5653
7.54 KIPS |
|
|
Text Classification (Q)
|
93% |
5485
7.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
6159
106.1 IPS |
|
|
Machine Translation (HP)
|
100% |
6659
114.7 IPS |
|
|
Machine Translation (Q)
|
98% |
6725
116.2 IPS |
